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gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

Global Score
76 vs 40
Hardware Fit
51 vs 89
Quality Score
87 vs 19

Hardware

gemma-3-27b-it-qat qwen3-0.6b
MachineMac miniLENOVO 20BUS00700
CPUApple M4 ProIntel Core™ i5-5300U
Cores144
RAM64 GB16 GB
GPUApple M4 ProIntel(R) HD Graphics 5500
OSmacOS 15.7.4Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

gemma-3-27b-it-qat qwen3-0.6b
Tokens/sec8.914.4
First chunk3976 ms854 ms
TTFT4.0 s854 ms
Load timeN/AN/A
Memory usage15.7 GB0.5 GB
Memory %25%3%

HW Fit Score Breakdown

gemma-3-27b-it-qat

Speed
12/50
TTFT
9/20
Memory
30/30

qwen3-0.6b

Speed
43/50
TTFT
20/20
Memory
26/30

Quality

gemma-3-27b-it-qat

Reasoning
16/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3-0.6b

Reasoning
5/20
Coding
1/20
Instruction
3/20
Structured
4/15
Math
0/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Poor Multilingual: Adequate
View gemma-3-27b-it-qat details | View qwen3-0.6b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest